We train GMMC on the CIFAR10 dataset, and compare its Expected Calibration Error (ECE) score [1]} to that of the standard softmax classifier and JEM. Results are shown in Fig. REF  with additional results on SVHN and CIFAR100 provided in Appendix REF . We find that the model trained by GMMC (Gen) achieves a much smaller ECE (1.33% vs. 4.18%), demonstrating GMMC's predictions are better calibrated than the competing methods.
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